Experimental design II
- Cours (CM) 10h
- Cours intégrés (CI) -
- Travaux dirigés (TD) 10h
- Travaux pratiques (TP) -
- Travail étudiant (TE) -
Langue de l'enseignement : Anglais
Description du contenu de l'enseignement
Objectives in terms of knowledge (course content) :
Mathematics for experimental design and data analysis
How to build the most efficient experimental plan :
Mathematics for experimental design and data analysis
- matrix: definition and elementary matrix calculation
- eigenvalues and eigenvectors
- diagonalization
- solving an under-parametrized system
How to build the most efficient experimental plan :
- the role of experimental uncertainties in a plane
- modelization and plane
- criteria of the most efficient planes
- simple and multiple linear regressions
- model validation
- confidence and prediction intervals
Compétences à acquérir
Objectives in terms of acquired skills :
- Understand how matrix can help to build efficient experimental planes,
- Basic principle of analyse data
- How to modelize a plane
Contact
École supérieure de biotechnologie de Strasbourg (ESBS)
300, boulevard Sébastien Brant - CS 1041367412 ILLKIRCH-GRAFFENSTADEN
0368854680
Formulaire de contact
Intervenants
Yves Nominé
